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- W2351496636 abstract "Parts classification grouping is the hams of inplementing group technology. With the traditional methods of clanification grouping, the process of claedfication grouping is complex, labour-consuming and lacking of generality. Artificial neural network is a new type of information ProceSSing sys-tern imitating the functions of the human brain which POsseests the excellent properties such as associative memory, Parallel distributed information processing and learning. It is a new effective and highefficient way to use artificial neural network in Parts classification grouping. This Paper Presents themethod of parts claSSification grouping by an ARc neural network. Compared with the traditionalmethods such as the bidirectional asociative memory model (fi and the learning matrix model (23,the ARab model has the advantages of the learning function without a teacher. With this method, thelearning function can be implemented on--line. In this paper, the algorithm is introduced in detail andan example of grouping is given." @default.
- W2351496636 created "2016-06-24" @default.
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- W2351496636 date "1995-01-01" @default.
- W2351496636 modified "2023-09-23" @default.
- W2351496636 title "Application of Neural Network Model ART1 in Group Technology" @default.
- W2351496636 hasPublicationYear "1995" @default.
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